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Grounding English Commands to Reward Functions
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Learning to Parse Natural Language Commands to a Robot Control System
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Imitation learning for natural language direction following through unknown environments
inferredcites →https://doi.org/10.1109/icra.2014.6907841openalex-snapshot
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inferredcites →https://doi.org/10.1109/robot.2010.5509238openalex-snapshot
A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
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Toward understanding natural language directions
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A Joint Model of Language and Perception for Grounded Attribute Learning
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Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions
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Learning to Interpret Natural Language Navigation Instructions from Observations
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A statistical approach to machine translation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/s10514-018-9792-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10514-022-10043-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40558-021-00214-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2020.3001130openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01075openalex-snapshot
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
inferred← citeshttps://doi.org/10.1109/humanoids43949.2019.9035032openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2018.8460937openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra.2019.8794200openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812169openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161125openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icra57147.2024.10610571openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iros.2018.8593942openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802712openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/lra.2016.2588584openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/aaaiss.v2i1.27720openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/aiide.v12i1.12876openalex-snapshot
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inferred← citeshttps://doi.org/10.1609/icaps.v27i1.13867openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.125openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.585openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.83openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.985openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/d18-1195openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/d18-1287openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/w16-60openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/w16-6011openalex-snapshot
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inferred← citeshttps://doi.org/10.24963/ijcai.2019/880openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/robotics15030055openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s26165046openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.1911.00497openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2010.02316openalex-snapshot
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Newtonian Action Advice: Integrating Human Verbal Instruction with Reinforcement Learning
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